• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.179-185
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• 2019

A core technology of social robot is voice recognition and dialogue engine technology, but too much money is needed for development and an implementation of robot's conversation function is difficult resulting from insufficiency of performance. Dialogue function's implementation between human and robot can be possible due to advance of cloud AI technology and several company's supply of their open API. In this paper, current intelligent social robot technology trend is investigated and effective social robot system architecture is designed. Also an effective analysis and design method of social robot system will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.2
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• pp.161-167
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• 2021

Laboratory Information Management System(LIMS) is a centralized database for storing, processing, retrieving, and analyzing laboratory data, and refers to a computer system or system specially designed for laboratories performing inspection, analysis, and testing tasks. In particular, LIMS is equipped with a function to support the operation of the laboratory, and it requires workflow management or data tracking support. In this paper, we collect data on websites and various channels using crawling technology, one of the automated big data collection technologies for the operation of the laboratory. Among the collected test methods and contents, useful test methods and contents useful that the tester can utilize are recommended. In addition, we implement a complementary LIMS platform capable of verifying the collection channel by managing the feedback.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.93-93
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• 2023

최근 범지구적인 기후변화로 인해 도시유역의 홍수 발생 빈도가 빈번하게 발생하고 있다. 이로 인해 불투수성이 큰 도시지역의 침수 등의 자연재해 증가로 인명 및 재산피해가 발생하고 있다. 이에 따라 하수도의 제 기능을 수행하고 있다면 문제가 없지만 이상기후로 인한 기록적인 폭우에 의해 침수가 발생하고 있다. 홍수 및 집중호우와 같은 극치사상의 발생빈도가 증가됨에 따라 강우 사상의 변동에 따른 하수관로의 수위를 예측하고 침수에 대해 대처하기 위해 과거 수위에 따른 수위 예측은 중요할 것으로 판단된다. 본 연구에서는 수위 예측 연구에 많이 활용되고 있는 시계열 학습에 탁월한 LSTM 알고리즘을 활용한 하수관로 수위 예측을 진행하였다. 데이터의 학습과 검증을 수행하기 위해 실제 하수관로 수위 데이터를 수집하여 연구를 수행하였으며, 대상자료는 서울특별시 강동구에 위치한 하수관로 수위 자료를 활용하였다. 하수관로 수위 예측에는 딥러닝 알고리즘 RNN-LSTM 알고리즘을 활용하였으며, RNN-LSTM 알고리즘은 하천의 수위 예측에 우수한 성능을 보여준 바 있다. 1분 뒤 하수관로 수위 예측보다 5분, 10분 뒤 또는 1시간 3시간 등 다양한 분석을 실시하였다. 데이터 분석을 위해 하수관로 수위값 변동이 심한 1주일을 선정하여 분석을 실시하였다. 연구에는 Google에서 개발한 딥러닝 오픈소스 라이브러리인 텐서플로우를 활용하였으며, 하수관로 수위 고유번호 25-0001을 대상으로 예측을 하였다. 학습에는 2012년 ~ 2018년의 하수관로 수위 자료를 활용하였으며, 모형의 검증을 위해 결정계수(R square)를 이용하여 통계분석을 실시하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.219-219
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• 2020

하천의 수질을 나타내는 환경지표 중 국가 TMS(Tele Monitoring system)의 수질측정망을 통해 관리되고 있는 지표로는 DO, BOD, COD, SS, TN, TP 등 여러 인자들이 있다. 이러한 수질인자는 하천의 자정작용에 있어 많은 영향을 나타내고 있다. 이를 활용한 경제적이고 합리적인 수질관리를 위해 하천의 자정작용을 활용하는 것이 중요하다. 생물학적 작용을 가장 효과적으로 활용하기 위해서는 수질오염 데이터에 기초한 수질예측을 채택하여 적절한 대책이 필요하다. 이를 위해서는 수질인자의 데이터를 측정하고 축적해 수질오염을 예측하는 것이 필수적인데, 실제적으로 수질인자의 일일 측정은 비용 관점에서 쉽게 접근할 수 없다. 본 연구에서는 시계열 학습으로 알려진 RNN-LSTM(Recurrent Neural Network-Long Term Memory) 알고리즘을 활용하여 기존에 측정된 수질인자의 데이터를 통해 시간당 및 일일 수질인자를 예측하려고 했다. 연구에 앞서, 기존에 시간단위로 측정된 수질인자 데이터의 이상 유무를 확인 후, 에러값은 제거하고 12시간 이하 데이터가 누락되었을 때는 선형 보간하여 데이터를 사용하고, 1일 데이터도 10일 이하 데이터가 누락되었을 때 선형 보간하여 데이터를 활용하여 수질인자를 예측하였다. 수질인자를 예측하기 위해 구글이 개발한 딥러닝 오픈소스 라이브러리인 텐서플로우를 활용하였고, 연구지역으로는 대한민국 부산에 위치한 온천천의 유역을 선정하였다. 수질인자 데이터 수집은 부산광역시에서 운영하는 보건환경정보 공개시스템의 자료를 활용하였다. 모델의 연구를 위해 하천의 수질인자, 기상자료 데이터를 입력자료로 활용하였다. 분석에서는 입력자료와, 반복횟수, 시계열의 길이 등을 조절해 수질 요인을 예측했고, 모델의 정확도도 분석하였다.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.63-70
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• 2019

These days, as Interest in Image recognition with deep learning is increasing, there has been a lot of research in image recognition using deep learning. In this study, we propose a system for classifying rocks through rock images of 18 types of rock(6 types of igneous, 6 types of metamorphic, 6 types of sedimentary rock) which are addressed in the high school curriculum, using CNN model based on Tensorflow, deep learning open source framework. As a result, we developed a classifier to distinguish rocks by learning the images of rocks and confirmed the classification performance of rock classifier. Finally, through the mobile application implemented, students can use the application as a learning tool in classroom or on-site experience.

• The KIPS Transactions:PartD
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• v.14D no.2
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• pp.265-272
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• 2007

In this paper, we implement an automated composition system of web services using hybrid techniques that merge the benefit of BPEL techniques, with the advantage of OWL-S, BPEL techniques have practical capabilities that fulfil the needs of the business environment such as fault handling and transaction management. However, the main shortcoming of these techniques is the static composition approach, where the service selection and flow management are done a priori and manually. In contrast, OWL-S techniques use ontologies to provide a mechanism to describe the web services functionality in machine-understandable form, making it possible to discover, and integrate web services automatically. This allows for the dynamic integration of compatible web services, possibly discovered at run time, into the composition schema. However, the development of these approaches is still in its infancy and has been largely detached from the BPEL composition effort. In this work, we describe the design of the SemanticBPEL architecture that is a hybrid system of BPEL4WS and OWL-S, and propose algorithms for web service search and integration. In particular, the SemanticBPEL has been implemented based on the open source tools. The proposed system is compared with existing BPEL systems by functional analysis. These comparisions show that our system outperforms existing systems.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.333-339
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• 2016

Technology to optimize and utilize the use and supply of the electric power between consumer and supplier has been on the rise among the smart grid power market network in electric power demand management based on the Internet. Open Automated Demand Response system protocol, which can deliver Demand Response needed in electric power demand management to electricity supplier, system supplier and even the user is openADR 2.0b. This paper used the most credible, cosmopolitanly proliferated EPRI open source and analysed the variety of security vulnerability that developed VEN and VTN system may have. Using the simulator for attacking openADR protocol, the VEN/VTN system that has been implemented as EPRI open source was conducted to attack in a variety of ways. As a result of the analysis, we were able to get the results that the VEN/VTN system has security vulnerabilities to the parameter tampering attacks and service flow falsification attack. In conclusion, if you want to implement the openADR2.0b protocol system in the open or two-way communication environment smart grid network, considering a variety of security vulnerability should be sure to seek security technology and services.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.309-319
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• 2014

Virtual Network service is a key characteristics of future Internet which is debate internationally. There are two kinds of network virtualization technologies considered lately: network functions virtualization and virtual network approaches. Several national wide research networks including US's GENI project have experimented technologies for future Internet and in particular network virtualization is one of key issues. Representative Korean research network, KREONET, is working on deploying virtual network framework as a preliminary for future Ineternet using the virtualization model of SDN/OpenFlow which is typical network model of future Internet. This paper proposes a stepwise model to bring virtual network services in KREONET. Firstly, we requirements of KREONET users' virtual network service and network resource management and network deploying virtual network. Finally, we verify the adequacy of our virtual network model for KREONET.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.819-824
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• 2015

SDN (Software Defined Network) technology, hardware and network control functions should be separated independently of existing switches or routers and data transfer functions and are also refers to a separate network architecture that can develop and run. When planning a network and designed to reflect the network control function by applying the SDN may reflect the resources efficiently. In this study, one people suggest Applications SDN, which offer an absolutely necessary part of a coded program that combines the benefits of the existing IOS (Combined Benefits) applying the model to complete the Controller part through the MPLS IOS. The OpenFlow Controller is a command to the router LER(Label Edge Router), and transmits the packet in accordance with the command to the destination according to the EXP bit. To configure TCP / IP to the IOS through the optimized coding. Using the OpenFlow protocol controller transmits an encapsulation header as defined in the MPLS packet.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.6
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• pp.387-396
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• 2014

Recently, there have been continuous efforts and progresses regarding the research on diverse network control and management platforms for SDN (Software Defined Networking). SDN is defined as a new technology to enable service providers/network operators easily to control and manage their networks by writing a simple application program. In SDN, incomplete or malicious programmable entities could cause break-down of underlying networks shared by heterogeneous devices and stake-holders. In this sense, any misunderstanding or diverse interpretations should be completely avoided. This paper proposes a new framework for SDN application verification and a prototype based on the formal method, especially with process algebra called pACSR which is an extended version of Algebra of Communicating Shared Resources (ACSR).